Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57124
Title: Stochastic frontier model in financial econometrics: A copula-based approach
Authors: P. Tibprasorn
K. Autchariyapanitkul
S. Sriboonchitta
Authors: P. Tibprasorn
K. Autchariyapanitkul
S. Sriboonchitta
Keywords: Computer Science
Issue Date: 1-Feb-2017
Abstract: © Springer International Publishing AG 2017. This study applies the principle of stochastic frontier model (SFM) to calculate the optimal frontier of the stock prices in a stock market. We use copula to measure dependence between the error terms in SFM by examining several stocks in Down Jones industrial. The results show that our modified stochastic frontier model is more applicable for financial econometrics. Finally, we use AIC for model selection.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887682&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57124
ISSN: 1860949X
Appears in Collections:CMUL: Journal Articles

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